Earth science
PulseAugur coverage of Earth science — every cluster mentioning Earth science across labs, papers, and developer communities, ranked by signal.
3 day(s) with sentiment data
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MemSFT method adapts LLMs to specialized domains without performance loss
Researchers have developed MemSFT, a novel method to adapt large language models (LLMs) to specialized domains without sacrificing their general capabilities. MemSFT utilizes an external parametric memory that is traine…
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New multimodal model MKB unifies scientific domains for AI-driven discovery
Researchers have introduced Monkey King Bang (MKB), a novel multimodal foundation model designed for scientific discovery across diverse domains. MKB utilizes a shared Transformer backbone with specialized components fo…
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New framework LC-SLab enhances land cover mapping with object-based deep learning
Researchers have developed LC-SLab, a novel deep learning framework designed for large-scale land cover classification using satellite imagery and sparse in-situ labels. This object-based approach assigns labels to cohe…
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New benchmark tackles scientific code search challenges on GitHub
Researchers have developed a new dataset and benchmark for scientific code search, addressing the challenge of finding relevant software among millions of GitHub repositories. The dataset, comprising 5,264 classified sc…
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KISS infrastructure makes Earth science simulations accessible via agents
Researchers have developed KISS, a Knowledge Infrastructure for Scientific Simulation, designed to make complex Earth science models accessible to a wider audience. This agent-actionable scaffold externalizes expertise,…
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New MSEarth benchmark uses MLLMs for Earth science discovery
Researchers have developed MSEarth, a new multimodal benchmark designed to evaluate the capabilities of multimodal large language models (MLLMs) in Earth science reasoning. This dataset comprises over 289,000 figures wi…
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EVE framework launches open-source LLMs for Earth Intelligence
Researchers have developed EVE, an open-source framework for creating specialized Large Language Models (LLMs) focused on Earth Intelligence. The core of EVE is EVE-Instruct, a 24 billion parameter model derived from Mi…